2 papers
cs.LG2025
Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA
Shayan K. Azmoodeh, Krishna Subramani, Paris Smaragdis
We generalize the low-rank decomposition problem, such as principal and independent component analysis (PCA, ICA) for continuous-time vector-valued signals and provide a model-agno…
eess.AS2025
Rethinking Non-Negative Matrix Factorization with Implicit Neural Representations
Krishna Subramani, Paris Smaragdis, Takuya Higuchi +1
Non-negative Matrix Factorization (NMF) is a powerful technique for analyzing regularly-sampled data, i.e., data that can be stored in a matrix. For audio, this has led to numerous…